PYTH PYTH / GSWIFT Crypto vs EUL EUL / USD Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / GSWIFTEUL / USD
📈 Performance Metrics
Start Price 3.224.04
End Price 62.634.34
Price Change % +1,842.82%+7.35%
Period High 62.6315.47
Period Low 3.102.88
Price Range % 1,918.1%437.8%
🏆 All-Time Records
All-Time High 62.6315.47
Days Since ATH 0 days125 days
Distance From ATH % +0.0%-72.0%
All-Time Low 3.102.88
Distance From ATL % +1,918.1%+50.9%
New ATHs Hit 38 times28 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%4.11%
Biggest Jump (1 Day) % +16.74+1.67
Biggest Drop (1 Day) % -3.33-1.68
Days Above Avg % 36.9%50.3%
Extreme Moves days 10 (3.2%)20 (5.8%)
Stability Score % 35.1%20.9%
Trend Strength % 56.3%47.8%
Recent Momentum (10-day) % +38.98%+0.87%
📊 Statistical Measures
Average Price 13.847.47
Median Price 11.147.54
Price Std Deviation 9.172.97
🚀 Returns & Growth
CAGR % +2,977.67%+7.84%
Annualized Return % +2,977.67%+7.84%
Total Return % +1,842.82%+7.35%
⚠️ Risk & Volatility
Daily Volatility % 8.99%5.91%
Annualized Volatility % 171.73%112.89%
Max Drawdown % -32.87%-75.34%
Sharpe Ratio 0.1430.033
Sortino Ratio 0.1960.036
Calmar Ratio 90.5880.104
Ulcer Index 15.3430.05
📅 Daily Performance
Win Rate % 56.3%48.1%
Positive Days 178164
Negative Days 138177
Best Day % +96.03%+23.32%
Worst Day % -26.77%-20.27%
Avg Gain (Up Days) % +6.00%+4.73%
Avg Loss (Down Days) % -4.79%-4.01%
Profit Factor 1.621.09
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 512
💹 Trading Metrics
Omega Ratio 1.6151.094
Expectancy % +1.29%+0.20%
Kelly Criterion % 4.48%1.03%
📅 Weekly Performance
Best Week % +65.04%+53.64%
Worst Week % -11.35%-35.91%
Weekly Win Rate % 75.0%57.7%
📆 Monthly Performance
Best Month % +94.65%+38.86%
Worst Month % -5.72%-48.36%
Monthly Win Rate % 83.3%69.2%
🔧 Technical Indicators
RSI (14-period) 84.4659.36
Price vs 50-Day MA % +97.41%-33.39%
Price vs 200-Day MA % +247.64%-52.93%

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs EUL (EUL): 0.522 (Moderate positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
EUL: Kraken
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